<2-3 sentences summarising what the project addresses and solves, the target audience, and the benefit.> Stakpak Agent is a terminal-native DevOps agent in Rust, prioritizing enterprise-grade security with features like mTLS and dynamic secret substitution. It automates complex development tasks, including command execution, file editing, IaC indexing, and documentation research, aiming to boost operational efficiency and security for DevOps professionals.

How It Works

The agent employs a privacy-first architecture with end-to-end mTLS encryption and dynamic secret substitution, allowing AI to interact with sensitive data securely. It handles DevOps workflows via asynchronous task management with real-time progress streaming, local indexing and semantic search for IaC (Terraform, Kubernetes, Dockerfile, GitHub Actions), and an integrated documentation research agent. Customizable "Rule Books" and persistent knowledge enable adaptive behavior tailored to organizational policies and learned interactions.

Quick Start & Requirements

• Installation: Homebrew (brew install stakpak), binary download, or Docker (docker pull ghcr.io/stakpak/agent:latest).
• Authentication: Requires a STAKPAK_API_KEY from stakpak.dev, configured via environment variable or stakpak login.
• Prerequisites: Docker image bundles common CLI tools. Mounting the Docker socket is needed for containerization tasks.
• Usage: Start TUI with stakpak, resume with stakpak -c. MCP server mode (stakpak mcp) supports local, remote, or combined tools. ACP integration for editors like Zed uses stakpak acp.
• Links: Documentation and GitHub Releases are implied but not directly linked.

Highlighted Details

• Security: Features mTLS, dynamic secret substitution, secure password generation, and privacy mode for data redaction.
• DevOps Automation: Asynchronous task management, real-time progress streaming, IaC indexing/search, and a documentation research agent.
• Adaptive Intelligence: Customizable "Rule Books" and persistent knowledge adapt agent behavior to workflows and policies.
• Editor Integration: Agent Client Protocol (ACP) enables AI chat, code analysis, and tool execution in editors like Zed.

Maintenance & Community

The README encourages GitHub stars for support but provides no direct links to community channels or specific contributor details.

Licensing & Compatibility

The project's license is not specified in the README, preventing an assessment of commercial use or closed-source linking compatibility.

Limitations & Caveats

No explicit limitations, alpha status, or known bugs are mentioned. The primary adoption blocker is the unstated license, which requires further investigation for enterprise or commercial deployment.